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As a Staff Product Manager at Confluent, you'll lead major product initiatives, ensure effective communication across teams, and enhance the product strategy for Kafka Connect, aiming for successful enterprise-grade integrations.

The Senior Software Engineer II will design and develop cloud-native backend systems for Stream Governance, mentor engineers, and solve complex data challenges in a team-focused environment.

The Principal Engineer will lead AI-driven productivity initiatives, develop a strategy for integrating AI in engineering workflows, and improve collaboration across teams. Responsibilities include executing projects, ensuring code quality, and setting success metrics.

The Senior Software Engineer II will design and implement complex backend systems for a data streaming platform, lead technical projects, and mentor engineers in a cloud-native environment.

Lead multi-year product strategy and execution for Apache Flink across Confluent Cloud and Platform. Align product, engineering, GTM, and executives; identify 0-to-1 opportunities across streaming, AI, and data engineering; define integrations across Confluent and IBM portfolios; and drive product lifecycle from early market fit to scale.

This role involves driving the vision and strategy for Confluent's API platform, focusing on developer experience, and managing cross-team initiatives. Responsibilities include understanding user needs, simplifying API interactions, and ensuring product adoption.

As a Senior Software Engineer, you'll design and implement strategies for scalable storage solutions, develop a highly available infrastructure, and collaborate with cross-functional teams to integrate storage features.

Lead the product-led growth marketing strategy, optimize acquisition, manage a high-performing team, and integrate AI into growth workflows.

Design and build backend services that run AI/model inference on real-time streaming data. Own end-to-end features, make cross-team architectural decisions, ensure reliability and operability, participate in on-call, and mentor engineers while driving production-grade rollout and testing.

Design, build, scale, and operate a Kafka-compatible, object-storage-backed streaming platform. Own backend services, storage engine, multi-tenant control plane, transactions and multi-region features. Troubleshoot complex distributed systems, ensure operational readiness and SLAs, participate in on-call rotation, and contribute across the full stack including developer console UI.